摘要
防区外发射空地导弹的中制导通常使用GPS辅助的惯性制导,甚至还使用地形匹配,从而在不使用GPS的情况下,也能在较远距离内具有较高的导航精度,但是地形匹配导航方式在平原和城市地区无法使用。提出并研究了一种基于图像的导航算法。公路交叉路口或其他特殊的建筑物可以作为地标点,其特征被转化成二维的,当空地导弹成像导引头拍摄的图像与已知地标的若干个匹配点通过自动目标匹配方式成功匹配后,可根据算法提取出导弹的位置和姿态信息。仿真结果表明,该算法具有较高的位置修正精度,可以用于修正中远程空地导弹的惯性制导。该算法也可用于无人机的自主导航。
Stand-off air-to-surface missiles commonly use inertial navigation aided by GPS in the midcourse. Terrain reference navigation （TRN） is also used by some missiles to navigate precisely over a long distance without using GPS. But TRN can not be used in plain and city area. An image based navigation algorithm was brought forward and studied. Characteristic attributes of a landmark such as road crossings or special buildings would be transformed into two dimensional ones and be stored in the missile＇s computer. If some points of a known landmark matched to air-to-surface missile seeker＇s image using automatic matching algorithm, the algorithm could be used to calculate the missile＇s position and attitude. Simulations indicate that this algorithm has very high position accuracy and can be used to update INS of air-to-surface missile. This algorithm can also be used for UAV autonomous navigation.
出处
《红外与激光工程》
EI
CSCD
北大核心
2011年第11期2301-2305,共5页
Infrared and Laser Engineering
基金
空军武器装备体系研究国防科技重点实验室资助项目
关键词
成像导引头
空地导弹
图像导航
惯导修正
多点匹配
imaging seeker
air-to-surface missile
image based navigation（IBN）
INS updating
multi-points matching
